Recognizing Human Activities from Sensors Using Hidden Markov Models Constructed by Feature Selection Techniques
نویسندگان
چکیده
منابع مشابه
Recognizing Human Activities from Sensors Using Hidden Markov Models Constructed by Feature Selection Techniques
In this paper a method for selecting features for Human Activity Recognition from sensors is presented. Using a large feature set that contains features that may describe the activities to recognize, Best First Search and Genetic Algorithms are employed to select the feature subset that maximizes the accuracy of a Hidden Markov Model generated from the subset. A comparative of the proposed tech...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2009
ISSN: 1999-4893
DOI: 10.3390/a2010282